NEW SIMPLISTIC APPROACH FOR MEOR MODELLING AND UNCERTAINTY ASSESMENT
微生物采油（MEOR）是一种极具潜力的提高采收率方法，从经济和环境角度来看都很有吸引力。MEOR基于微生物的生命和新陈代谢。Wintershall自2012年开始进行“MEOR研究”。本论文是“MEOR调查”项目工作包3和4的一部分；商业软件CMG STARS和现场模拟中的MEOR实现。论文内容包括：反应动力学模拟、MEOR效应模拟、MEOR模拟的新简化方法以及CMG STARS中的不确定性评估。
Abstract
Microbial enhanced oil recovery (MEOR) is highly potential EOR method, attractive from both economic and environmental perspective. MEOR is based on the life and metabolism of microorganisms. Wintershall is conducting “MEOR Studies” since 2012. This thesis is part of the project “MEOR Studies” work packages 3 and 4; MEOR implementation in commercial software CMG STARS and field simulation. In thesis are shown: modelling reaction kinetics, modelling MEOR effects, new simplistic approach for modelling MEOR and uncertainty assessment in CMG STARS.
Keywords: MEOR, reservoir simulation, CMG STARS, uncertainty assessment
Wintershall正在进行为期七年的“MEOR研究”项目，并选择了德国的一个油田进行试点应用。本论文是“MEOR研究”项目的一部分——工作包3和4：商业软件CMG STAR中MEOR的实现和现场模拟。
MEOR模拟概念先前在工作包3和4中进行了研究，并将作为本工作的基础。在这项工作中，分析与模拟的匹配方法2提出了细菌生长模型，更详细地描述了MEOR效应的模拟，并讨论了现场模拟的新概率方法。
Wintershall is conducting “MEOR Studies” project for seven years and a field in Germany was selected for the pilot application. This thesis is part of the project “MEOR Studies” – work packages 3 and 4: MEOR implementation in commercial software CMG STAR and field simulation.
MEOR modelling concepts are previously investigated in work packages 3 and 4 and will be used as a basis to this work. In this work, the approach for matching of analytical and simulation 2
model with bacterial growth is presented, modelling of MEOR effects is described in more detail and new probabilistic approach of field simulation is discussed.
